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SMSAD: a framework for spam message and spam account detection · Peerford

Article · Journal · 2017

SMSAD: a framework for spam message and spam account detection

Kayode S. Adewole, Nor Badrul Anuar, Amirrudin Kamsin, Arun Kumar Sangaiah

Multimedia Tools and Applications

Closed access
World top 10%
International · 3 countries

Go to the publisher 10.1007/s11042-017-5018-x

Citations: 40from other works
Field-weighted impact: 7.641.00 is the world average for its field and year
Among its field: Top 10%by citations, against works of its field and year
Authors: 4from 3 institutions

Authors

4 authors across 3 institutions in 3 countries

Kayode S. AdewoleFirst authorCorresponding
- University of Ilorin (NG)
as printed: Kayode Sakariyah Adewole
Nor Badrul AnuarCorresponding
Amirrudin Kamsin
Arun Kumar SangaiahSenior author

Funded by

Commercializations Promotion Agency for R and D Outcomes

Countries on it

India
Malaysia
Nigeria

Also on it

University of Malayaeducation · MY

Vellore Institute of Technology Universityeducation · IN

Fields

A work can sit in several, each with a score

Spam and Phishing DetectionTopic
Network Security and Intrusion DetectionTopic
Advanced Malware Detection TechniquesTopic